Full‑Stack Applied AI Engineer (Agentic AI)

Roles & Responsibilities

Job Description:

We are seeking a Full-Stack Applied AI Engineer to build and deliver production-grade, AI-powered applications. This role focuses on applied AI, including agentic systems, and involves integrating Large Language Models (LLMs) into real-world applications using modern frontend, backend, and Azure cloud technologies.

The ideal candidate is a delivery-oriented developer with a strong foundation in full-stack development and a passion for applying AI to solve business problems.

Key Responsibilities

End-to-End Development: Own the design, development, and deployment of AI-enabled full-stack applications.

AI Integration: Build and integrate AI-driven features using LLMs, prompt engineering, Retrieval-Augmented Generation (RAG), and function/tool-calling.

Frontend Development: Develop responsive and intuitive user interfaces using React.

Backend Development: Build secure, scalable backend APIs and services using C# / .NET.

Cloud Deployment: Deploy, manage, and monitor applications on Microsoft Azure, utilizing services like App Services, Azure OpenAI, and Azure Functions.

DevOps & Quality: Implement and maintain CI/CD pipelines, automated testing, and observability to ensure system reliability and performance.

Collaboration: Partner closely with product managers, UX designers, and business stakeholders to translate requirements into technical solutions.

Required Skills

Frontend

· React (mandatory)

· Flutter (preferred)

Backend

· C# / .NET

· REST API design and integration

Applied AI

· Hands-on experience with LLMs and prompt engineering

· Experience building or integrating agentic AI workflows

· Familiarity with RAG, vector databases, LangChain-like frameworks

Cloud & DevOps

· Microsoft Azure (App Services, Azure OpenAI, Functions, Storage, etc.)

· Azure DevOps CI/CD

· Docker (AKS is a plus)

Good to Have

· Experience with Azure OpenAI or similar AI platforms

· Python or Node.js for AI orchestration

· Experience integrating AI into enterprise/business systems

· Exposure to AI-assisted development tools and workflows

Soft Skills

· Strong problem-solving and ownership mindset

· Ability to translate business problems into practical AI solutions

· Clear communication with technical and non-technical stakeholders

Tell employers what skills you have

Azure AI
TensorFlow
Ai
Vector Search
AI Agents
Azure OpenAI
Development Tools
Keras
LangChain
PyTorch
Python
Prompt Engineering
Business Systems
Interactive Platform
Linux
C++